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conftrace_

contrastive learning

4,492 papers

CL

Papers

DeepShade: Enable Shade Simulation by Text-conditioned Image Generation IJCAI 2025 Defeasible Visual Entailment: Benchmark, Evaluator, and Reward-Driven Optimization AAAI 2025 Describe, Adapt and Combine: Empowering CLIP Encoders for Open-set 3D Object Retrieval ICCV 2025 Descriptive and Discriminative Document Identifiers for Generative Retrieval AAAI 2025 DesignCLIP: Multimodal Learning with CLIP for Design Patent Understanding EMNLP 2025 DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding ICCV 2025 Detecting Backdoor Samples in Contrastive Language Image Pretraining ICLR 2025 Detecting Honkadori based on Waka Embeddings NAACL 2025 Detoxifying Large Language Models via the Diversity of Toxic Samples EMNLP 2025 DFCA: Disentangled Feature Contrastive Learning and Augmentation for Fairer Dermatological Diagnostics IJCAI 2025 DFMU: Distribution-based Framework for Modeling Aleatoric Uncertainty in Multimodal Sentiment Analysis IJCAI 2025 DictAS: A Framework for Class-Generalizable Few-Shot Anomaly Segmentation via Dictionary Lookup ICCV 2025 DiffEmotionVC: A Dual-Granularity Disentangled Diffusion Framework for Any-to-Any Emotional Voice Conversion Interspeech 2025 Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning ICCV 2025 DiffRetouch: Using Diffusion to Retouch on the Shoulder of Experts AAAI 2025 DiMPLe - Disentangled Multi-Modal Prompt Learning: Enhancing Out-Of-Distribution Alignment with Invariant and Spurious Feature Separation ICCV 2025 DisCoCLIP: A Distributional Compositional Tensor Network Encoder for Vision-Language Understanding EMNLP 2025 DisCo: Graph-Based Disentangled Contrastive Learning for Cold-Start Cross-Domain Recommendation AAAI 2025 Discovering Clone Negatives via Adaptive Contrastive Learning for Image-Text Matching ICLR 2025 Discovering Global False Negatives On the Fly for Self-supervised Contrastive Learning ICML 2025 Disentangled Contrastive Bundle Recommendation with Conditional Diffusion AAAI 2025 Disentangled Modeling of Preferences and Social Influence for Group Recommendation AAAI 2025 Disentangle Source and Target Knowledge for Continual Test-Time Adaptation WACV 2025 Disentangling Invariant Subgraph via Variance Contrastive Estimation under Distribution Shifts ICML 2025 Distillation versus Contrastive Learning: How to Train Your Rerankers IJCNLP 2025